• Databricks Data Engineer - INTL

    Insight Global (Oak Grove, NC)


    Job Description

    We are seeking 3 skilled and motivated Databricks Data Engineers with 3–5 years of experience to support data engineering initiatives in the pharmaceutical domain. The ideal candidate will have hands-on expertise in Databricks, SQL, and Python, and a strong understanding of pharma/life sciences data. This role involves building and optimizing data pipelines, transforming complex datasets, and enabling scalable data solutions that support analytics and business intelligence efforts. The candidate should be comfortable working in a fast-paced environment and collaborating with cross-functional teams to ensure data quality, accessibility, and performance.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    - 3–5 years of experience in data engineering roles

     

    - Strong hands-on experience with Databricks for data processing and pipeline development.

     

    - Proficiency in SQL for data querying, transformation, and troubleshooting.

     

    - Solid programming skills in Python for data manipulation and automation.

     

    - Proven experience working with pharmaceutical or life sciences data, including familiarity with industry-specific data structures and compliance considerations